如何在没有足够内存的情况下使用Pandas打开巨大的拼图文件

import pandas as pd

chunksize = 1000000  # 每次读取100万行数据
reader = pd.read_csv('huge_file.csv', chunksize=chunksize)

for chunk in reader:
    # 处理每个数据块
    # ...

import pandas as pd

columns = ['column1', 'column2', 'column3']  # 需要读取的列名列表
df = pd.read_csv('huge_file.csv', usecols=columns)

import pandas as pd

dtypes = {'column1': 'int32', 'column2': 'float16', 'column3': 'category'}  # 指定每列的数据类型
df = pd.read_csv('huge_file.csv', dtype=dtypes)

import pandas as pd

with open('huge_file.csv', 'r') as file:
    for line in file:
        # 处理每行数据
        # ...